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» An integrative approach to modeling biological networks
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ESWA
2010
118views more  ESWA 2010»
13 years 6 months ago
Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In ...
Chi-Jie Lu
BMCBI
2007
123views more  BMCBI 2007»
13 years 7 months ago
Heritable clustering and pathway discovery in breast cancer integrating epigenetic and phenotypic data
Background: In order to recapitulate tumor progression pathways using epigenetic data, we developed novel clustering and pathway reconstruction algorithms, collectively referred t...
Zailong Wang, Pearlly Yan, Dustin P. Potter, Chari...
CIBCB
2005
IEEE
13 years 9 months ago
A Transcriptional Approach to Gene Clustering
— We present an integrative method for clustering coregulated genes and elucidating their underlying regulatory mechanisms. We use multi-state partition functions and thermodynam...
Ilias Tagkopoulos
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
14 years 1 months ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang
BMCBI
2007
172views more  BMCBI 2007»
13 years 7 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...